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Datmo

Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

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Datmo Alternatives

The best Datmo alternatives based on verified products, votes, reviews and other factors.
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  1. Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

  2. Machine Learning Operationalization

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  4. Deep Learning and AI accessible to everyone

  5. Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

    freemium

  6. The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

  7. Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

  8. Machine Learning Operationalization

  9. Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

  10. Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

  11. Developer tools for deep learning research

  12. Fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

  13. Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

  14. Optimize Everything. Tune your experiments automatically to get better results, faster. A/B testing.

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This article was published on | Author: | Publisher: SaaSHub
Categories: Data Science And Machine Learning, Data Science Notebooks, Predictive Analytics